Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3677
Missing cells	5665
Missing cells (%)	6.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.1 MiB
Average record size in memory	589.2 B

Variable types

Text	3
Categorical	10
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 3 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095233)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2025-09-27 10:15:30.143832
Analysis finished	2025-09-27 10:16:02.133301
Duration	31.99 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

sector
Text

Distinct	114
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	238.1 KiB

Length

Max length	26
Median length	9
Mean length	9.3138428
Min length	3

Characters and Unicode

Total characters	34247
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 95
2nd row	sector 78
3rd row	manesar
4th row	sector 108
5th row	sector 108

Value	Count	Frequency (%)
sector	3448	46.7%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.5%
92	101	1.4%
69	92	1.2%
65	87	1.2%
81	87	1.2%
90	87	1.2%
Other values (107)	2917	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3803	11.1%
	3701	10.8%
s	3693	10.8%
r	3693	10.8%
e	3542	10.3%
c	3499	10.2%
t	3459	10.1%
1	1075	3.1%
0	801	2.3%
8	778	2.3%
Other values (21)	6203	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23286	68.0%
Decimal Number	7260	21.2%
Space Separator	3701	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3803	16.3%
s	3693	15.9%
r	3693	15.9%
e	3542	15.2%
c	3499	15.0%
t	3459	14.9%
a	698	3.0%
d	249	1.1%
n	225	1.0%
h	203	0.9%
Other values (10)	222	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1075	14.8%
0	801	11.0%
8	778	10.7%
9	762	10.5%
6	741	10.2%
7	683	9.4%
2	677	9.3%
3	666	9.2%
5	593	8.2%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3701	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23286	68.0%
Common	10961	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3803	16.3%
s	3693	15.9%
r	3693	15.9%
e	3542	15.2%
c	3499	15.0%
t	3459	14.9%
a	698	3.0%
d	249	1.1%
n	225	1.0%
h	203	0.9%
Other values (10)	222	1.0%

Common

Value	Count	Frequency (%)
	3701	33.8%
1	1075	9.8%
0	801	7.3%
8	778	7.1%
9	762	7.0%
6	741	6.8%
7	683	6.2%
2	677	6.2%
3	666	6.1%
5	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34247	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3803	11.1%
	3701	10.8%
s	3693	10.8%
r	3693	10.8%
e	3542	10.3%
c	3499	10.2%
t	3459	10.1%
1	1075	3.1%
0	801	2.3%
8	778	2.3%
Other values (21)	6203	18.1%

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	219.9 KiB

flat	2818
house	859

Length

Max length	5
Median length	4
Mean length	4.2336144
Min length	4

Characters and Unicode

Total characters	15567
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15567	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15567	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15567	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	265.2 KiB

Length

Max length	49
Median length	39
Mean length	16.869695
Min length	1

Characters and Unicode

Total characters	62013
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	the roselia 2
2nd row	umang monsoon breeze
3rd row	hsiidc sidco aravali
4th row	sobha city
5th row	sobha city

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (783)	7497	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55465	89.4%
Space Separator	6003	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4171	7.5%
n	4163	7.5%
i	3830	6.9%
t	3719	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15353	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6003	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55465	89.4%
Common	6548	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4171	7.5%
n	4163	7.5%
i	3830	6.9%
t	3719	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15353	27.7%

Common

Value	Count	Frequency (%)
	6003	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.2%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
22222	13	0.4%
11111	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
33333	11	0.3%
Other values (2641)	3509	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1648
Distinct (%)	45.0%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.336

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.27
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.73

Descriptive statistics

Standard deviation	23167.507
Coefficient of variation (CV)	8.0210569
Kurtosis	942.02884
Mean	2888.336
Median Absolute Deviation (MAD)	533
Skewness	29.730952
Sum	10571310
Variance	5.3673338 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	52	1.4%
1950	42	1.1%
1350	34	0.9%
2000	33	0.9%
2400	22	0.6%
1800	22	0.6%
2150	21	0.6%
1900	20	0.5%
1300	20	0.5%
1578	19	0.5%
Other values (1638)	3375	91.8%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517.24	1	< 0.1%
98977.95	1	< 0.1%
82781.46	1	< 0.1%
65517	2	0.1%
65261.04	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	399.4 KiB

Length

Max length	124
Median length	119
Mean length	54.236062
Min length	12

Characters and Unicode

Total characters	199426
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Built Up area: 695 (64.57 sq.m.)Carpet area: 595 sq.ft. (55.28 sq.m.)
2nd row	Super Built up area 2250(209.03 sq.m.)Carpet area: 1848 sq.ft. (171.68 sq.m.)
3rd row	Super Built up area 2588(240.43 sq.m.)Built Up area: 1900 sq.ft. (176.52 sq.m.)
4th row	Super Built up area 2072.9(192.58 sq.m.)
5th row	Super Built up area 1381(128.3 sq.m.)

Value	Count	Frequency (%)
area	5573	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8700	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82758	41.5%
Decimal Number	47135	23.6%
Space Separator	26464	13.3%
Other Punctuation	23406	11.7%
Uppercase Letter	8593	4.3%
Close Punctuation	5535	2.8%
Open Punctuation	5535	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13154	15.9%
r	9456	11.4%
e	9320	11.3%
s	7567	9.1%
q	7431	9.0%
t	7324	8.8%
u	6770	8.2%
p	6767	8.2%
m	5544	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9205	19.5%
0	6628	14.1%
2	5688	12.1%
5	4714	10.0%
3	3960	8.4%
4	3711	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1872	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20389	87.1%
:	3017	12.9%

Space Separator

Value	Count	Frequency (%)
	26464	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5535	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108075	54.2%
Latin	91351	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13154	14.4%
r	9456	10.4%
e	9320	10.2%
s	7567	8.3%
q	7431	8.1%
t	7324	8.0%
u	6770	7.4%
p	6767	7.4%
m	5544	6.1%
l	3701	4.1%
Other values (10)	14317	15.7%

Common

Value	Count	Frequency (%)
	26464	24.5%
.	20389	18.9%
1	9205	8.5%
0	6628	6.1%
2	5688	5.3%
)	5535	5.1%
(	5535	5.1%
5	4714	4.4%
3	3960	3.7%
4	3711	3.4%
Other values (5)	16246	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3600761

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976289
Coefficient of variation (CV)	0.56475771
Kurtosis	18.212873
Mean	3.3600761
Median Absolute Deviation (MAD)	1
Skewness	3.4851418
Sum	12355
Variance	3.6009954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	209.4 KiB

3+	1172
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3187381
Min length	1

Characters and Unicode

Total characters	4849
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	3+
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4849	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4849	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7982504

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0124542
Coefficient of variation (CV)	0.884412
Kurtosis	4.5153928
Mean	6.7982504
Median Absolute Deviation (MAD)	3
Skewness	1.6936988
Sum	24868
Variance	36.149606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	224.3 KiB

Na	1045
East	623
North-East	623
North	387
West	249
Other values (4)	750

Length

Max length	10
Median length	5
Mean length	5.4631493
Min length	2

Characters and Unicode

Total characters	20088
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North
2nd row	Na
3rd row	East
4th row	Na
5th row	East

Common Values

Value	Count	Frequency (%)
Na	1045	28.4%
East	623	16.9%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	1045	28.4%
east	623	16.9%
north-east	623	16.9%
north	387	10.5%
west	249	6.8%
south	231	6.3%
north-west	193	5.2%
south-east	173	4.7%
south-west	153	4.2%

Most occurring characters

Value	Count	Frequency (%)
t	3774	18.8%
a	2464	12.3%
N	2248	11.2%
s	2014	10.0%
o	1760	8.8%
h	1760	8.8%
E	1419	7.1%
r	1203	6.0%
-	1142	5.7%
W	595	3.0%
Other values (3)	1709	8.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14127	70.3%
Uppercase Letter	4819	24.0%
Dash Punctuation	1142	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	26.7%
a	2464	17.4%
s	2014	14.3%
o	1760	12.5%
h	1760	12.5%
r	1203	8.5%
e	595	4.2%
u	557	3.9%

Uppercase Letter

Value	Count	Frequency (%)
N	2248	46.6%
E	1419	29.4%
W	595	12.3%
S	557	11.6%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18946	94.3%
Common	1142	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	19.9%
a	2464	13.0%
N	2248	11.9%
s	2014	10.6%
o	1760	9.3%
h	1760	9.3%
E	1419	7.5%
r	1203	6.3%
W	595	3.1%
e	595	3.1%
Other values (2)	1114	5.9%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	18.8%
a	2464	12.3%
N	2248	11.2%
s	2014	10.0%
o	1760	8.8%
h	1760	8.8%
E	1419	7.1%
r	1203	6.0%
-	1142	5.7%
W	595	3.0%
Other values (3)	1709	8.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	272.2 KiB

Relatively new property	1646
New Property	593
Moderately New Property	563
Undefined	306
Old Property	303

Length

Max length	23
Median length	23
Mean length	18.792766
Min length	9

Characters and Unicode

Total characters	69101
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Undefined
2nd row	Moderately New Property
3rd row	Moderately New Property
4th row	New Property
5th row	Relatively new property

Common Values

Value	Count	Frequency (%)
Relatively new property	1646	44.8%
New Property	593	16.1%
Moderately New Property	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
property	3105	33.5%
new	2802	30.3%
relatively	1646	17.8%
moderately	563	6.1%
undefined	306	3.3%
old	303	3.3%
under	266	2.9%
construction	266	2.9%

Most occurring characters

Value	Count	Frequency (%)
e	11203	16.2%
r	7305	10.6%
t	5846	8.5%
	5580	8.1%
y	5314	7.7%
p	4751	6.9%
o	4200	6.1%
l	4158	6.0%
n	3056	4.4%
w	2802	4.1%
Other values (15)	14886	21.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57556	83.3%
Uppercase Letter	5965	8.6%
Space Separator	5580	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11203	19.5%
r	7305	12.7%
t	5846	10.2%
y	5314	9.2%
p	4751	8.3%
o	4200	7.3%
l	4158	7.2%
n	3056	5.3%
w	2802	4.9%
i	2218	3.9%
Other values (7)	6703	11.6%

Uppercase Letter

Value	Count	Frequency (%)
R	1646	27.6%
P	1459	24.5%
N	1156	19.4%
U	572	9.6%
M	563	9.4%
O	303	5.1%
C	266	4.5%

Space Separator

Value	Count	Frequency (%)
	5580	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	63521	91.9%
Common	5580	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11203	17.6%
r	7305	11.5%
t	5846	9.2%
y	5314	8.4%
p	4751	7.5%
o	4200	6.6%
l	4158	6.5%
n	3056	4.8%
w	2802	4.4%
i	2218	3.5%
Other values (14)	12668	19.9%

Common

Value	Count	Frequency (%)
	5580	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69101	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11203	16.2%
r	7305	10.6%
t	5846	8.5%
	5580	8.1%
y	5314	7.7%
p	4751	6.9%
o	4200	6.1%
l	4158	6.0%
n	3056	4.4%
w	2802	4.1%
Other values (15)	14886	21.5%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	37	1.0%
1650	37	1.0%
1578	25	0.7%
2000	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
1350	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	644
Distinct (%)	38.1%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1987	54.0%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	733
Distinct (%)	39.2%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1805	49.1%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2349
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2972
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3272
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3021
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3339
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

1	2436
0	1038
2	203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	2436	66.2%
0	1038	28.2%
2	203	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2436	66.2%
0	1038	28.2%
2	203	5.5%

Most occurring characters

Value	Count	Frequency (%)
1	2436	66.2%
0	1038	28.2%
2	203	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2436	66.2%
0	1038	28.2%
2	203	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2436	66.2%
0	1038	28.2%
2	203	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2436	66.2%
0	1038	28.2%
2	203	5.5%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.512918

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.059082
Coefficient of variation (CV)	0.74195102
Kurtosis	-0.88020421
Mean	71.512918
Median Absolute Deviation (MAD)	38
Skewness	0.4590463
Sum	262953
Variance	2815.2662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2313	62.9%

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.274	0.111	0.130	0.000	0.000	0.203	0.125	0.214	0.255	0.108	0.187	0.102	0.056	0.379	0.287	0.143	0.140	0.086
area	0.000	1.000	0.011	0.687	0.624	0.835	0.801	0.008	0.116	0.043	0.259	0.042	0.037	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.225	0.176	0.000	0.026	0.165	0.079	0.178	0.223	0.082	0.197	0.136	0.033	0.214	0.441	0.146	0.183	0.306
bathroom	0.111	0.687	0.225	1.000	0.862	0.465	0.599	0.077	-0.005	0.195	0.179	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	0.130	0.624	0.176	0.862	1.000	0.380	0.569	0.052	-0.104	0.166	0.057	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.800
built_up_area	0.000	0.835	0.000	0.465	0.380	1.000	0.969	0.000	0.091	0.090	0.289	0.000	0.000	0.605	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.599	0.569	0.969	1.000	0.021	0.159	0.000	0.239	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facing	0.203	0.008	0.165	0.077	0.052	0.000	0.021	1.000	0.026	0.195	0.174	0.075	0.198	0.045	0.012	0.079	0.288	0.136	0.124	0.093
floorNum	0.125	0.116	0.079	-0.005	-0.104	0.091	0.159	0.026	1.000	0.026	0.232	0.033	0.102	0.001	-0.126	0.485	0.084	0.112	0.078	0.152
furnishing_type	0.214	0.043	0.178	0.195	0.166	0.090	0.000	0.195	0.026	1.000	0.238	0.064	0.213	0.174	0.022	0.085	0.266	0.156	0.138	0.132
luxury_score	0.255	0.259	0.223	0.179	0.057	0.289	0.239	0.174	0.232	0.238	1.000	0.176	0.189	0.215	0.054	0.329	0.347	0.228	0.183	0.222
others	0.108	0.042	0.082	0.070	0.079	0.000	0.016	0.075	0.033	0.064	0.176	1.000	0.033	0.034	0.036	0.026	0.000	0.106	0.031	0.084
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.198	0.102	0.213	0.189	0.033	1.000	0.334	0.043	0.252	0.252	0.305	0.313	0.157
price	0.102	0.744	0.136	0.720	0.681	0.605	0.613	0.045	0.001	0.174	0.215	0.034	0.334	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	0.056	0.207	0.033	0.411	0.417	0.132	0.136	0.012	-0.126	0.022	0.054	0.036	0.043	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.079	0.485	0.085	0.329	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	1.000
servant room	0.287	0.015	0.441	0.520	0.317	0.000	0.000	0.288	0.084	0.266	0.347	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.584
store room	0.143	0.039	0.146	0.244	0.223	0.000	0.000	0.136	0.112	0.156	0.228	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.046
study room	0.140	0.018	0.183	0.176	0.154	0.000	0.003	0.124	0.078	0.138	0.183	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	0.121
super_built_up_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.093	0.152	0.132	0.222	0.084	0.157	0.772	0.287	1.000	0.584	0.046	0.121	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	sector	property_type	society	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	study room	others	pooja room	furnishing_type	luxury_score
0	sector 95	flat	the roselia 2	0.45	6475.0	695.00	Built Up area: 695 (64.57 sq.m.)Carpet area: 595 sq.ft. (55.28 sq.m.)	2	2	2	19.0	North	Undefined	NaN	695.0	595.0	0	0	0	0	1	0
1	sector 78	flat	umang monsoon breeze	1.20	6493.0	1848.00	Super Built up area 2250(209.03 sq.m.)Carpet area: 1848 sq.ft. (171.68 sq.m.)	3	3	2	8.0	Na	Moderately New Property	2250.0	NaN	1848.0	0	0	0	1	2	8
2	manesar	flat	hsiidc sidco aravali	0.91	3516.0	2588.00	Super Built up area 2588(240.43 sq.m.)Built Up area: 1900 sq.ft. (176.52 sq.m.)	3	3	3+	8.0	East	Moderately New Property	2588.0	1900.0	NaN	1	0	0	0	1	23
3	sector 108	flat	sobha city	3.35	13266.0	2525.00	Super Built up area 2072.9(192.58 sq.m.)	3	4	2	19.0	Na	New Property	2072.9	NaN	NaN	0	0	0	0	1	102
4	sector 108	flat	sobha city	1.90	13758.0	1381.00	Super Built up area 1381(128.3 sq.m.)	2	2	2	8.0	East	Relatively new property	1381.0	NaN	NaN	0	0	0	0	1	85
5	sector 65	flat	m3m heights	2.15	15003.0	1433.00	Built Up area: 1433 (133.13 sq.m.)	2	2	3+	28.0	East	Undefined	NaN	1433.0	NaN	0	0	0	0	1	48
6	sector 86	flat	dlf new town heights	1.40	5942.0	2356.00	Super Built up area 2356(218.88 sq.m.)	4	4	3+	20.0	South-East	Relatively new property	2356.0	NaN	NaN	1	0	0	1	1	65
7	sector 3	house	independent	0.37	7916.0	467.41	Built Up area: 480 (44.59 sq.m.)	1	1	1	1.0	Na	Relatively new property	NaN	480.0	NaN	0	0	0	0	1	0
8	sector 79	flat	godrej	1.29	8206.0	1572.00	Super Built up area 1572(146.04 sq.m.)	2	2	3	4.0	Na	New Property	1572.0	NaN	NaN	0	0	0	0	1	0
9	sector 43	house	independent	7.85	29074.0	2700.01	Plot area 300(250.84 sq.m.)	9	9	3+	3.0	West	Relatively new property	NaN	2700.0	NaN	1	1	1	1	2	49

	sector	property_type	society	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	others	pooja room	store room	furnishing_type	luxury_score
3793	sector 85	flat	ss the leaf	2.20	5641.0	3900.00	Super Built up area 3950(366.97 sq.m.)Built Up area: 3920 sq.ft. (364.18 sq.m.)Carpet area: 3900 sq.ft. (362.32 sq.m.)	4	6	3	10.0	North-West	Relatively new property	3950.0	3920.0	3900.0	1	0	0	0	1	174
3794	sector 4	house	independent	0.55	4074.0	1350.02	Plot area 1350(125.42 sq.m.)	3	3	2	2.0	South	Relatively new property	NaN	1350.0	NaN	0	1	0	0	1	7
3795	sector 33	flat	ashiana anmol	1.10	8627.0	1275.00	Built Up area: 1275 (118.45 sq.m.)Carpet area: 795 sq.ft. (73.86 sq.m.)	2	2	2	4.0	North-East	Undefined	NaN	1275.0	795.0	0	0	0	0	1	0
3796	sector 102	flat	emaar imperial gardens	2.05	9876.0	2076.00	Carpet area: 2025 (188.13 sq.m.)	3	4	3+	14.0	South	Relatively new property	NaN	NaN	2025.0	1	0	0	0	1	116
3797	sector 109	flat	ats kocoon	2.15	10262.0	2095.00	Super Built up area 2095(194.63 sq.m.)	3	4	3	9.0	North	Relatively new property	2095.0	NaN	NaN	1	0	0	0	1	97
3798	sector 102	flat	emaar gurgaon greens	1.45	8787.0	1650.00	Super Built up area 1650(153.29 sq.m.)	3	3	2	7.0	South-West	Relatively new property	1650.0	NaN	NaN	1	0	0	0	1	169
3799	sector 76	flat	suncity avenue 76	0.75	10204.0	735.00	Super Built up area 735(68.28 sq.m.)	2	2	2	11.0	Na	Under Construction	735.0	NaN	NaN	0	0	0	0	1	57
3800	sector 65	flat	m3m golfestate	7.00	18181.0	3850.00	Carpet area: 3850 (357.68 sq.m.)	3	3	2	12.0	North	Moderately New Property	NaN	NaN	3850.0	0	0	0	1	1	60
3801	sector 86	flat	dlf the skycourt	1.60	8294.0	1929.00	Super Built up area 1929(179.21 sq.m.)	3	3	1	14.0	North-East	Relatively new property	1929.0	NaN	NaN	0	0	1	0	1	72
3802	sector 2	flat	bestech park view residency	1.51	7869.0	1919.00	Super Built up area 1920(178.37 sq.m.)	3	4	3+	7.0	South-West	Moderately New Property	1920.0	NaN	NaN	1	0	0	0	0	84

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category